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A Proposed Hidden Markov Model Method for Dynamic Device Pairing on Internet of Things End-Devices



Abstract
Dynamic device pairing is a context-based zero-interaction method to pair end-devices in an IoT System based on Received Signal Strength Indicator (RSSI) values. But if RSSI detection is done in high level, the accuracy is troublesome due to poor sampling rates. This research proposes the Hidden Markov Model method to increase the performance of dynamic device pairing detection. This research implements an IoT system consisting an Access Point, an IoT End Device, an IoT Platform, and an IoT application and performs a comparison of two different methods to prove the concept. The results show that the precision of dynamic device pairing with HMM is better than without HMM and the value is 83,93%.


Ketersediaan

JICTRA3a-005JICTRA V14N3 February 2021Perpustakaan FT UPI YAITersedia
JICTRA3b-005JICTRA V14N3 February 2021Perpustakaan FT UPI YAITersedia

Informasi Detil

Judul Seri
Journal of ICT Research and Application
No. Panggil
JICTRA V14N3 February 2021
Penerbit ITB Journal Publisher : Bandung.,
Deskripsi Fisik
hlm : 274-285
Bahasa
English
ISBN/ISSN
2337-5787
Klasifikasi
JICTRA
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
Volume 14 Nomor 3 February 2021
Subyek
Info Detil Spesifik
-
Pernyataan Tanggungjawab

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